The Geospatial Distribution of Myositis and Its Phenotypes in the United States and Associations With Roadways: Findings From a National Myositis Patient Registry.
The Geospatial Distribution of Myositis and Its Phenotypes in the United States and Associations With Roadways: Findings From a National Myositis Patient Registry.
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DOI：
10.3389/fmed.2022.842586
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发表时间：
2022
影响因子：
3.9
通讯作者：
Rider LG
中科院分区：
文献类型：
--
作者：
Hossain MM;Wilkerson J;McGrath JA;Farhadi PN;Brokamp C;Khan MTF;Goldberg B;Brunner HI;Macaluso M;Miller FW;Rider LG
关于美国特发性炎性肌病（IIM）的空间分布知之甚少，或其地理空间关联。我们研究了一项国家肌炎患者登记研究，其中包括1985 - 2011年在美国本土诊断的病例，包括皮肌炎（DM，n = 484）、多发性肌炎（PM，n = 358）和包涵体肌炎（IBM，n = 318）患者。为了评估肌炎患病率与距离道路的关系，我们采用对数高斯考克斯过程模型，人口密度偏移。美国IIM病例分布显示，在挪威的集中度较高。DM、IBM和肺部疾病病例在东部更为常见，而PM病例在东南部更为常见。西部的一个地区和南部的一个地区，DM病例相对于PM和肺部疾病病例相对于无肺部疾病的病例分别显著过量。IIM病例倾向于聚集，点间相互作用在东北部更强烈，在南部更少。有一种趋势，即IIM的患病率较高，其主要表型之间的人生活在50米的道路相对生活超过200米。人口统计学特征、城乡通勤面积和女性比例与IIM的患病率和主要表型显著相关。使用一个大型的美国数据库来评估IIM及其表型的空间分布，这项研究表明，在美国的一些地区的集群和接近道路的可能关联。
Little is known about the spatial distribution of idiopathic inflammatory myopathies (IIM) in the United States (U.S.), or their geospatial associations. We studied a national myositis patient registry, with cases diagnosed in the contiguous U.S. from 1985–2011 and comprised of dermatomyositis (DM, n = 484), polymyositis (PM, n = 358), and inclusion body myositis (IBM, n = 318) patients. To assess the association of myositis prevalence with distance from roads, we employed log-Gaussian Cox process models, offset with population density. The U.S. IIM case distribution demonstrated a higher concentration in the Northest. DM, IBM, and cases with lung disease were more common in the East, whereas PM cases were more common in the Southeast. One area in the West and one area in the South had a significant excess in cases of DM relative to PM and of cases with lung disease relative to those without lung disease, respectively. IIM cases tended to cluster, with between-points interactions more intense in the Northeast and less in the South. There was a trend of a higher prevalence of IIM and its major phenotypes among people living within 50 m of a roadway relative to living beyond 200 m. Demographic characteristics, rural-urban commuting area, and female percentage were significantly associated with the prevalence of IIM and with major phenotypes. Using a large U.S. database to evaluate the spatial distribution of IIM and its phenotypes, this study suggests clustering in some regions of the U.S. and a possible association of proximity to roadways.